The counterfeiting of pharmaceutics or luxury objects is a major threat to supply chains today. As different facilities of a supply chain are distributed and difficult to monitor, malicious adversaries can inject fake objects into the supply chain. This paper presents TRACKER, a protocol for object genuineness verification in RFID-based supply chains. More precisely, TRACKER allows to securely identify which (legitimate) path an object/tag has taken through a supply chain. TRACKER provides privacy: an adversary can neither learn details about an object’s path, nor can it trace and link objects in the supply chain. TRACKER’s security and privacy is based on an extension of polynomial signature techniques for run-time fault detection using homomorphic encryption. Contrary to related work, RFID tags in this paper are not required to perform any computation, but only feature a few bytes of storage such as ordinary EPC Class 1 Gen 2 tags.
The counterfeiting of pharmaceutics or luxury objects is
a major threat to supply chains today. As different facilities
of a supply chain are distributed and difficult to monitor,
malicious adversaries can inject fake objects into the
supply chain. This paper presents
for object genuineness verification in RFID-based supply
chains. More precisely,
which (legitimate) path an object/tag has taken through
a supply chain.
can neither learn details about an object's path, nor can
it trace and link objects in the supply chain.
security and privacy is based on an extension of polynomial
signature techniques for run-time fault detection using
homomorphic encryption. Contrary to related work, RFID
tags in this paper are
but only feature a few bytes of storage such as ordinary
EPC Class 1 Gen 2 tags.
